Telecommunications

PI.EXCHANGE for Telecommunications

PI.EXCHANGE's machine learning solutions allows telecommunication companies to better leverage their data about customers to create powerful and actionable predictions.

PI.EXCHANGE helps telco providers solve their most challenging problems, and empower them to increase profitability by making data-driven strategic decisions.

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Using Data for a Competitive Edge

In today's telecommunications landscape, competition is fierce. Consequently, telecommunication providers are eager to gain deeper insights into consumer behaviours, leveraging predictive analytics to drive impactful outcomes.

Traditionally, integrating machine learning has been costly and time-consuming.

However, with PI.EXCHANGE's machine learning solutions, both technical and non-technical stakeholders can seamlessly construct comprehensive machine learning pipelines, yielding valuable predictive insights.

Use Cases

Powerful Telecommunication Use Cases

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Customer Churn Prediction

Predict if A Customer is Likely to Churn and When

PI.EXCHANGE’s Customer Churn Prediction solution allows telco providers to identify customers likely to churn in the future, giving them an opportunity to proactively address it ahead of time. Keep customers from switching to a competitor and retain revenue that would otherwise be lost.

Predict churn probabilities for each customer

Increase customer loyalty and revenue

Decrease customer churn rates

Customer Lifetime Value Prediction

Predict Amount Spent By A Customer in a Given Period

PI.EXCHANGE's Customer Lifetime Value Prediction solution allows telecommunications companies to identify customers that will produce the most revenue over a given time period. Increase loyalty of long-term customers that drive revenue.

Generate CLV predictions for each customer

Determine revenue over a given time period

Increase loyalty among high-value customers

Demand Forecasting

Forecast Future Customer Demand

PI.EXCHANGE's Demand Forecasting solution allows telco companies to identify future market demand, and gain a clear view of inventory quantities required. Maximize profit margins by reducing excess stock and stockouts with optimal device and network equipment inventory.

Identify product quantities required to meet future market demand

Reduce excess stock and stockouts

Maximize profit margins with optimal device and equipment inventory

Customer Segmentation

Group Customers Into Natural Segments

PI.EXCHANGE’s Customer Segmentation solution allows telecommunication providers to group customers into natural categories based on demographics, behaviour and preferences. Increase marketing effectiveness by developing targeted offer strategies.

Pinpoint groups of customers with similar identifying features

Develop effective targeted marketing strategies

Increase revenue with more efficient offerings